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논문검색

Process Bottleneck Identification from Event Log based on Process Capacity Theory

원문정보

Gwangjin Heo, Jinsung Lee, Jae-Yoon Jung

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초록

영어

Recently, enterprise information systems accumulate business events in log files. Such event logs enable analysts to keep the track of conducted tasks and context in business process execution. Process mining techniques are widely used to understand and analyze the event logs, considering their underlying business process. This research introduces a technique for bottleneck identification in business process using process mining and process capacity theory. Trace clustering is also applied to divide process instances in the event log into several process models which contain similar behaviors. The proposed technique is illustrated through experiments using real-world event logs which were collected from repair service execution in a telecom company.

목차

Abstract
1. Introduction
2. Framework
2.1. Trace clustering
2.2. Process model discovery
2.3. Process bottleneck
3. Bottleneck Identification
3.1. Data description
3.2. Process capacity
4. Experiment Results
5. Conclusion
References

저자정보

  • Gwangjin Heo Department of Industrial and Management Systems Engineering, Kyung Hee University
  • Jinsung Lee Department of Industrial and Management Systems Engineering, Kyung Hee University
  • Jae-Yoon Jung Department of Industrial and Management Systems Engineering, Kyung Hee University

참고문헌

자료제공 : 네이버학술정보

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